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Phongsak Keeratiwintakorn. Automatic sorting machine using industrial robot and digital image processing. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
Automatic sorting machine using industrial robot and digital image processing
Name: Chanin Joochim
Organization :
King Mongkut's University of Technology North Bangkok. College of Industrial Technology
Email :
chanin.j@cit.kmutnb.ac.th
Organization :
King Mongkut's University of Technology North Bangkok. Faculty of Engineering
Email :
phongsak.k@eng.kmutnb.ac.th
keyword:
SCARA Robot
ThaSH:
Image processing
-- Digital techniques
ThaSH:
Robots, Industrial
ThaSH:
Separators (Machines
Abstract:
Industrial now a day has become more active in automation system. Both in terms of cost reduction, price, human error, quality as well as the introduction of automatic system technology. It able to work with the least manual labor required but quick and efficient. Today, the technology of automation and industrial robots is increasingly playing a role in the industry. It can work for human beings in various fields such as lifting products from production lines, assembly work, packing products. Work with repetitive processes, tasks that require the same quality standards. It can be seen that before the introduction of automation technology. To be used in industrial plants will require a lot of labor. It costs more to hire than automation and industrial robots to work instead of humans. This paper use automation system and industrial robot to sorting the equipment. It focuses on speed, accuracy and efficiency. Digital image processing is used to classify the text on equipment and shape of the equipment.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2025-07-15
Issued:
2025-07-15
บทความ/Article
application/pdf
BibliograpyCitation :
In Science and Technology Research Institute, King Mongkut's University of Technology North Bangkok, ECTI Association and IEEE Thailand Section. 2021 Research, Innovation, and Innovation Congress (RI2C 2021) (pp.311-316). Bangkok : Science and Technology Research Institute
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
-0.98227 วินาที
Chanin Joochim
| Title | Contributor | Type |
|---|---|---|
| Object detection of pedestrian crossing accident using deep convolutional neural networks
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Anan Yasamorn;Athasit Wongcharoen;Chanin Joochim | บทความ/Article | |
| Automatic sorting machine using industrial robot and digital image processing
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chanin Joochim;Phongsak Keeratiwintakorn | บทความ/Article |
Phongsak Keeratiwintakorn
| Title | Contributor | Type |
|---|---|---|
| Radar based traffic incident detection using support vector classification for road safety
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Pruk Ambavamata;Phongsak Keeratiwintakorn | บทความ/Article | |
| Automatic sorting machine using industrial robot and digital image processing
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chanin Joochim;Phongsak Keeratiwintakorn | บทความ/Article |